Hands-On Deep Learning for Games
This book will give you an in-depth view of the potential of deep learning and neural networks in game development. You will also learn to use neural nets combined with reinforcement learning for new types of game AI.
Offered by
Difficulty Level
Intermediate
Completion Time
13h4m
Language
English
About Book
Who Is This Book For?
This books is for game developers who wish to create highly interactive games by leveraging the power of machine and deep learning. No prior knowledge of machine learning, deep learning or neural networks is required this book will teach those concepts from scratch. A good understanding of Python is required.
Hands-On Deep Learning for Games
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 13h4m total length
Deep Learning for Games
Convolutional and Recurrent Networks
GAN for Games
Building a Deep Learning Gaming Chatbot
Introducing DRL
Unity ML-Agents
Agent and the Environment
Understanding PPO
Rewards and Reinforcement Learning
Imitation and Transfer Learning
Building Multi-Agent Environments
Debugging/Testing a Game with DRL
Obstacle Tower Challenge and Beyond
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